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AI Transformation Intern

Posted June 04, 2026
Intern Not Applicable

Job Overview

We are seeking a hands-on and intellectually curious individual to join QIMA's AI transformation effort. The successful candidate will help identify, scope, design, and deploy AI-powered solutions across QIMA's operations and corporate functions.

Should embrace a startup mindset - short cycles, fast shipping, and a bias for "done" over "perfect" - while being able to work effectively with diverse teams and stakeholders in a fast-paced, global environment.

The candidate will gain hands-on experience working at the intersection of AI, operations, and business transformation. This is an exciting opportunity for students interested in AI, automation, process improvement, and enterprise transformation.

Responsibilities

1. Design and prototype. Design and prototype AI-powered workflows leveraging platforms such as Claude, GPT, Make, Cursor, Power Automate, and no-code/low-code tools.

2. Deploy and iterate. Deploy and iterate on AI solutions in close collaboration with operational team leads, ensuring adoption and measuring results (time saved, errors reduced, process improvements, level of accuracy, speed of execution).

3. Document and communicate. Map target processes, write concise use case briefs (problem, solution, expected gain, effort), and report progress and recommendations to leadership and stakeholders.

4. Build end-to-end. Own the full cycle from rough prototype to production-ready solution - configure AI agents, connect APIs, set up automations, test with real users, and fix what breaks until the workflow runs reliably.

5. Maintain knowledge base. Help structure and maintain the internal knowledge base that powers AI assistants.

6. Contribute to AI community. Participate in the AI transformation governance and contribute to the internal AI community: document learnings, share tips, present demos.

7. Champion an AI-first mindset by promoting the use of AI tools and technologies in day-to-day operations, encouraging experimentation and adoption of AI-driven solutions to improve efficiency, strengthen processes, and elevate service quality.

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